Summary of Data as a Product: How dbt powers Slido’s Data API

00:00:00 - 00:20:00

The speaker describes how the data product they built using dbt didn't meet the requirements of the corporate guy, so they've integrated with a compliance and security company. They're working to finalize the integration with archiving.

• 00:00:00 The speaker is talking about a project they are working on in Slider, which is to help them storytelling Journey. Two and a half protagonists will be involved in the story, and one is "obvious." They will be handing over two protagonists to help tell the story.
• 00:05:00 Data as a product is a way for Slido to programmatically power its data API, and to make it simple for the product team to use. The project was designed to meet the requirements of the corporate guy, who wants data to be automatable, compliant, and simple.
• 00:10:00 Data as a product is how Slido powers its data API. The data product is built within data team best practices and high maintenance costs may prevent it from being a seamless process.
• 00:15:00 Data as a product is powering Slido's data API. Slido's data API is simple to use, compliant with GDPR, and scalable.
• 00:20:00 The speaker describes how they built a data product using dbt, and how it went wrong. They then go on to talk about how they've now integrated with a compliance and security company, and how they're working to finalize the integration with archiving.